174 search results - page 21 / 35 » Incremental and Decremental Learning for Linear Support Vect... |
134
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
122
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
196
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VLSISP
2010
15 years 2 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
144
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SIGIR
2004
ACM
15 years 9 months ago
2004
ACM
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
121
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...